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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>LLaSE-G1: Incentivizing Generalization Capability for LLaMA-based Speech Enhancement · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2503.00493/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2503.00493/feed.xml" rel="self" type="application/rss+xml" /><item><title>LLaSE-G1: Incentivizing Generalization Capability for LLaMA-based Speech Enhancement — mentioned by net01</title><link>https://news.ycombinator.com/item?id=43299999</link><guid isPermaLink="false">urn:hackerpapers:mention:2503.00493:43299999</guid><pubDate>Sat, 08 Mar 2025 13:15:47 GMT</pubDate><description>&lt;p&gt;LLaSE-G1 is a unified speech enhancement model capable of handling multiple tasks without extra task prompts, including: Noise Suppression (SE) Target Speaker Extraction (TSE) Packet Loss Concealment (PLC) Acoustic Echo Cancellation (AEC) Speech Separation (SS) huggingface link: &amp;gt; https://huggingface.co/ASLP-lab/LLaSE-G1 demo page: &amp;gt; https://submission-papers.github.io/LLaSE-G1-demo-page/ arxiv paper: &amp;gt; https://arxiv.org/abs/2503.00493&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2503.00493/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>eess.AS</category></item></channel></rss>
